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Eionet
Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

28,131 concepts found, displaying 23,381 to 23,400.First1,1661,1671,1681,1691,1701,1711,1721,173Last
Id Label Status Status Modified Notation
SE0320137 Tängsjö fly Quick edit Valid 2018-01-19 SE0320137
SE0320138 Tiafly Quick edit Valid 2018-01-19 SE0320138
SE0320139 Agnäs Quick edit Valid 2018-01-19 SE0320139
SE0320140 Brotorpabäck Quick edit Valid 2018-01-19 SE0320140
SE0320141 Fiolenområdet Quick edit Valid 2018-01-19 SE0320141
SE0320142 Skilsnäs Quick edit Valid 2018-01-19 SE0320142
SE0320143 Prosteköp Quick edit Valid 2018-01-19 SE0320143
SE0320144 Ronamossen/Klockesjömyren Quick edit Valid 2018-01-19 SE0320144
SE0320146 Toftaholms alkärr Quick edit Valid 2018-01-19 SE0320146
SE0320147 Malmaryd Quick edit Valid 2018-01-19 SE0320147
SE0320148 Stackarp Quick edit Valid 2018-01-19 SE0320148
SE0320149 Sånnahult Quick edit Valid 2018-01-19 SE0320149
SE0320150 Gäddeviksås Quick edit Valid 2018-01-19 SE0320150
SE0320151 Soldatmossen Quick edit Valid 2018-01-19 SE0320151
SE0320152 Stojby Quick edit Valid 2018-01-19 SE0320152
SE0320153 Vasatorp Quick edit Valid 2018-01-19 SE0320153
SE0320154 Notteryd Quick edit Valid 2018-01-19 SE0320154
SE0320155 Kruseböke Quick edit Valid 2018-01-19 SE0320155
SE0320156 Vakö myr Quick edit Valid 2018-01-19 SE0320156
SE0320157 Linnés Råshult Quick edit Valid 2018-01-19 SE0320157
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?